{"id":"https://openalex.org/W2118656391","doi":null,"title":"Learning and inference with constraints","display_name":"Learning and inference with constraints","publication_year":2008,"publication_date":"2008-07-13","ids":{"openalex":"https://openalex.org/W2118656391","mag":"2118656391"},"language":"en","primary_location":{"id":"mag:2118656391","doi":null,"is_oa":false,"landing_page_url":"https://aaaipress.org/Papers/AAAI/2008/AAAI08-252.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null},"volume":null,"type":"conference-paper","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ming\u2010Wei Chang","orcid":"https://orcid.org/0000-0002-0137-8895","observed_orcids":["https://orcid.org/0000-0002-0137-8895"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming\u2010Wei Chang","raw_affiliation_strings":["Computer Science Department, University of Illinois at Urbana Champaign,#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-0137-8895","affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Illinois at Urbana Champaign,#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009913852","display_name":"Lev Ratinov","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lev Ratinov","raw_affiliation_strings":["Computer Science Department, University of Illinois at Urbana Champaign,#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Illinois at Urbana Champaign,#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112828647","display_name":"Nicholas Rizzolo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Rizzolo","raw_affiliation_strings":["Computer Science Department, University of Illinois at Urbana Champaign,#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Illinois at Urbana Champaign,#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023802054","display_name":"Dan Roth","orcid":"https://orcid.org/0009-0002-1447-5173","observed_orcids":["https://orcid.org/0009-0002-1447-5173"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Roth","raw_affiliation_strings":["Computer Science Department, University of Illinois at Urbana Champaign,#TAB#"],"raw_orcid":"https://orcid.org/0009-0002-1447-5173","affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Illinois at Urbana Champaign,#TAB#","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":7.1828,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.97920252,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1513","last_page":"1518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.010599999688565731,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/declarative-constraints","display_name":"declarative constraints","score":0.9049999713897705},{"id":"https://openalex.org/keywords/probabilistic-graphical-models","display_name":"probabilistic graphical models","score":0.8619999885559082},{"id":"https://openalex.org/keywords/tractable-inference","display_name":"tractable inference","score":0.7590000033378601},{"id":"https://openalex.org/keywords/modularity","display_name":"modularity","score":0.621999979019165},{"id":"https://openalex.org/keywords/unlabeled-data","display_name":"unlabeled data","score":0.8220000267028809},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.718999981880188},{"id":"https://openalex.org/keywords/interdependent-variables","display_name":"interdependent variables","score":0.5879999995231628}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7594372034072876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476663589477539},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7088335752487183},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.708085834980011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5987297296524048},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5970479249954224},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5495032072067261},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5107975006103516},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.5056061744689941},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.4471389353275299},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4182555079460144},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.414757639169693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12045589089393616},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2118656391","doi":null,"is_oa":false,"landing_page_url":"https://aaaipress.org/Papers/AAAI/2008/AAAI08-252.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1505268972","https://openalex.org/W1531859941","https://openalex.org/W1566346388","https://openalex.org/W1585529040","https://openalex.org/W1774901127","https://openalex.org/W1781547478","https://openalex.org/W1981791873","https://openalex.org/W2008652694","https://openalex.org/W2038324640","https://openalex.org/W2040172363","https://openalex.org/W2091896764","https://openalex.org/W2097089247","https://openalex.org/W2107829402","https://openalex.org/W2117729721","https://openalex.org/W2118778987","https://openalex.org/W2141732516","https://openalex.org/W2158847908","https://openalex.org/W2165674742","https://openalex.org/W2465041517","https://openalex.org/W2785349534"],"related_works":["https://openalex.org/W7099372233","https://openalex.org/W7098298292","https://openalex.org/W7095686240","https://openalex.org/W2119295783","https://openalex.org/W7099343021","https://openalex.org/W3003954417","https://openalex.org/W7098950021","https://openalex.org/W7097461139","https://openalex.org/W3136743466","https://openalex.org/W2394785251"],"abstract_inverted_index":{"Probabilistic":[0],"modeling":[1],"has":[2],"been":[3],"a":[4,59,76,86],"dominant":[5],"approach":[6],"in":[7,27,58,91],"Machine":[8],"Learning":[9],"research.":[10],"As":[11],"the":[12,41,120],"field":[13],"evolves,":[14],"thc":[15],"problems":[16,30],"of":[17,37,101,115],"interest":[18],"become":[19],"increasingly":[20],"challenging":[21],"and":[22,67,99],"complex.":[23],"Making":[24],"complex":[25],"decisions":[26,90],"real":[28],"world":[29],"often":[31],"involves":[32],"assigning":[33],"values":[34],"to":[35,64,88,112],"sets":[36],"interdependent":[38],"variables":[39],"where":[40],"expressive":[42,93],"dependency":[43],"structure":[44],"can":[45,62,109],"influence,":[46],"or":[47],"even":[48],"dictate,":[49],"what":[50],"assignments":[51],"are":[52],"possible.":[53],"However,":[54],"incorporating":[55],"nonlocal":[56],"depcndencies":[57],"probabilistic":[60,80,121],"model":[61],"lead":[63],"intractable":[65],"training":[66,119],"inference.":[68],"This":[69],"paper":[70],"presents":[71],"Constraints":[72],"Conditional":[73],"Models":[74],"(CCMs),":[75],"framework":[77],"that":[78,106],"augments":[79],"models":[81],"with":[82],"declarative":[83,107],"constraints":[84,108],"as":[85],"way":[87],"support":[89],"an":[92],"output":[94],"space":[95],"while":[96],"maintaining":[97],"modularity":[98],"tractability":[100],"training.":[102],"We":[103],"further":[104],"show":[105],"be":[110],"used":[111],"take":[113],"advantage":[114],"unlabeled":[116],"data":[117],"when":[118],"model.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":9}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
